SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–750 of 4891 papers

TitleStatusHype
DeepOPF-V: Solving AC-OPF Problems EfficientlyCode1
MoViNets: Mobile Video Networks for Efficient Video RecognitionCode1
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
A Hybrid CNN-BiLSTM Voice Activity DetectorCode1
Improving Computational Efficiency in Visual Reinforcement Learning via Stored EmbeddingsCode1
Real-World Single Image Super-Resolution: A Brief ReviewCode1
A Pose-only Solution to Visual Reconstruction and NavigationCode1
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place RecognitionCode1
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech SeparationCode1
Anytime Sampling for Autoregressive Models via Ordered AutoencodingCode1
Solving high-dimensional parabolic PDEs using the tensor train formatCode1
You Only Compress Once: Optimal Data Compression for Estimating Linear ModelsCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Subdimensional Expansion for Multi-objective Multi-agent Path FindingCode1
CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage KernelsCode1
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
StainNet: a fast and robust stain normalization networkCode1
INSPIRE: Intensity and spatial information-based deformable image registrationCode1
An empirical evaluation of functional alignment using inter-subject decodingCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
Linear Reduced Order Model Predictive ControlCode1
Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing ImagesCode1
Multi-Features Guidance Network for partial-to-partial point cloud registrationCode1
Augmented Lagrangian Adversarial AttacksCode1
A Variational Infinite Mixture for Probabilistic Inverse Dynamics LearningCode1
MAGIC: Learning Macro-Actions for Online POMDP PlanningCode1
Multi\^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERTCode1
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image DeblurringCode1
Federated Bayesian Optimization via Thompson SamplingCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
Decomposing non-stationary signals with time-varying wave-shape functionsCode1
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental EvaluationCode1
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image ClassificationCode1
Robust Behavioral Cloning for Autonomous Vehicles using End-to-End Imitation LearningCode1
A Transformer-based Framework for Multivariate Time Series Representation LearningCode1
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural NetworksCode1
Self-grouping Convolutional Neural NetworksCode1
Multi-Relational Embedding for Knowledge Graph Representation and AnalysisCode1
Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image ClassificationCode1
Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERTCode1
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-DesignCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
Joint Design of RF and gradient waveforms via auto-differentiation for 3D tailored excitation in MRICode1
Revisiting Temporal Modeling for Video Super-resolutionCode1
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance ProblemsCode1
Corner Proposal Network for Anchor-free, Two-stage Object DetectionCode1
BabyAI 1.1Code1
Backpropagated Gradient Representations for Anomaly DetectionCode1
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical AnalysisCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified